pair trading(stat arb), July 2017
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Updated
Nov 21, 2018 - Python
pair trading(stat arb), July 2017
Pair Trading - Reinforcement Learning - with Oanda Trading API
Statistical arbitrage of cointegrating currencies with pair trading where the signal for the next day is predicted using LSTM
Financial analysis and demonstration of the classic algorithmic trading method, pair trading. This analysis compares the portfolio's growth with the underlying assets value and volatility over time.
Developing a Deep Q-Network model for trading two correlated stocks (pair-trading) using Python.
Pair-Trading bot developed with Python and Interactive Brokers Trader Workstation (TWS) API
Data Analysis on NSE indices
Version 2 of RESTful API for trading stocks (single or pairs), deployed on Heroku
Various Trading Strategies implemented in Python
Our codebase trials provide an implementation of the Select and Trade paper, which proposes a new paradigm for pair trading using hierarchical reinforcement learning. It includes the code for the proposed method and experimental results on real-world stock data to demonstrate its effectiveness.
Nautilus_Trader_Jerry_fall_2023 is a customized verision of Nautilus trader by Zhuoran "Jerry" Li on Fall 2023
Equities Pair Trading/Statistical Arbitrage and Multi-Variable Index Regression
Pair Trading Analysis & Exercises Toolkit [Jupyter Notebook]
RESTful API for trading stocks (single or pairs), deployed on Heroku
Python quantitative trading strategies including VIX Calculator, Pattern Recognition, Commodity Trading Advisor, Monte Carlo, Options Straddle, Shooting Star, London Breakout, Heikin-Ashi, Pair Trading, RSI, Bollinger Bands, Parabolic SAR, Dual Thrust, Awesome, MACD
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